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Manager, Data Science
Colgate-Palmolive
Overland Park, USA
Manager · 5+ years experience
Onsite
USD 124000-174000 / year
Discovered 2 days ago
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Key Skills for This Role
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Full Job Posting
Responsibilities
- Adopt a data product mindset to apply and utilize scalable data products within advanced analytics, defining, framing, and prioritizing complex commercial challenges into high-impact analytics roadmaps while serving as an analytics translator and advocate for data-driven decision-making to drive quantified value realization (e.g., direct P&L impact, measurable revenue uplift, and automated efficiency gains).
- Lead the end-to-end development, deployment, operationalization, and lifecycle management of predictive, machine learning, and Generative AI / Large Language Models (LLMs) to solve critical sales and marketing challenges across workflows for unstructured data, feature engineering, and automated insight generation.
- Help lay the foundation for MLOps practices, CI/CD pipelines, model monitoring, and governance frameworks to support model performance, reliability, and security as our AI/ML capabilities mature.
- Design, execute, and evaluate continuous experimentation protocols, including A/B testing and causal inference, to measure and improve commercial outcomes.
- Partner with cross-functional commercial leaders, external vendors, and IT/data engineering teams to leverage enterprise cloud data infrastructure (AWS/Azure) and ML tooling as we mature our cloud environment.
- Build and automate interactive reporting dashboards using platforms such as Tableau, Domo, or Google Data Studio to deliver actionable insights to non-technical stakeholders.
- Drive change management and user adoption strategies, partnering closely with business stakeholders to transition AI capabilities into everyday commercial operations.
Required Qualifications
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.
- 5+ years of experience in applied data analytics, data science, quantitative programming, or a related field.
- Hands-on proficiency with SQL and Python or R for statistical modeling and predictive analytics.
- Experience designing and executing A/B testing frameworks and applying modern Generative AI techniques, Large Language Models (LLMs), and prompt engineering/fine-tuning in enterprise settings.
- Proven experience utilizing enterprise cloud platforms and data infrastructure (e.g., AWS, Azure, Google Cloud Platform, Snowflake).
- Familiarity with SAP, customer analytics within CPG/Retail.
Preferred Qualifications
- Master’s Degree in a quantitative discipline.
- Demonstrated ability to manage ambiguity, lead project timelines independently, apply change management techniques to drive user adoption, and translate complex technical findings to non-technical executive audiences.
- Proven track record of operating with a data product mindset and delivering measurable ROI and quantified value realization across commercial analytics initiatives.
- Familiarity with model deployment, integration, and foundational MLOps principles using modern data architecture, containerization, and workflow orchestration tools to support model stability and monitoring.
- Compensation and Benefits Salary Range $124,000.00 - $174,000.00 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. For additional Colgate terms and conditions, please click here. #LI-Remote
- Compensation and Benefits
- Salary Range $124,000.00 - $174,000.00 USD
- Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
About Colgate-Palmolive
Manufacturing10,001+Founded 1806
Colgate-Palmolive is a global consumer products company focused on oral care, personal care, home care and pet nutrition. Founded in New York in 1806, it sells products in more than 200 countries and territories.
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